|
|
|
|
LEADER |
00000cam a2200000 i 4500 |
001 |
on1288000616 |
003 |
OCoLC |
005 |
20240808213014.0 |
006 |
m o d |
007 |
cr un|---aucuu |
008 |
211209s2021 sz a o 101 0 eng d |
040 |
|
|
|a GW5XE
|b eng
|e rda
|e pn
|c GW5XE
|d YDX
|d OCLCQ
|d OCLCF
|d DKU
|d OCLCO
|d DCT
|d COM
|d OCLCQ
|d OCLCO
|d UKAHL
|d OCLCQ
|d OCLCO
|d OCLCL
|
019 |
|
|
|a 1287956288
|a 1287956595
|a 1287956813
|a 1287957735
|a 1287992300
|a 1292518966
|a 1294365899
|
020 |
|
|
|a 9783030921859
|q (electronic bk.)
|
020 |
|
|
|a 3030921859
|q (electronic bk.)
|
020 |
|
|
|a 9783030922382
|q (electronic bk.)
|
020 |
|
|
|a 3030922383
|q (electronic bk.)
|
020 |
|
|
|a 9783030922733
|q (electronic bk.)
|
020 |
|
|
|a 3030922731
|q (electronic bk.)
|
020 |
|
|
|a 9783030922702
|q (electronic bk.)
|
020 |
|
|
|a 3030922707
|q (electronic bk.)
|
020 |
|
|
|z 9783030921842
|q (print)
|
020 |
|
|
|z 3030921840
|
020 |
|
|
|z 3030922375
|
020 |
|
|
|z 9783030922375
|
024 |
7 |
|
|a 10.1007/978-3-030-92185-9
|2 doi
|
035 |
|
|
|a (OCoLC)1288000616
|z (OCoLC)1287956288
|z (OCoLC)1287956595
|z (OCoLC)1287956813
|z (OCoLC)1287957735
|z (OCoLC)1287992300
|z (OCoLC)1292518966
|z (OCoLC)1294365899
|
037 |
|
|
|b Springer
|
050 |
|
4 |
|a Q337.5
|
072 |
|
7 |
|a UYQP
|2 bicssc
|
072 |
|
7 |
|a COM016000
|2 bisacsh
|
072 |
|
7 |
|a UYQP
|2 thema
|
049 |
|
|
|a HCDD
|
111 |
2 |
|
|a ICONIP (Conference)
|n (28th :
|d 2021 :
|c Online)
|
245 |
1 |
0 |
|a Neural information processing :
|b 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings.
|n Part I /
|c Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto (eds.).
|
246 |
3 |
|
|a ICONIP 2021
|
264 |
|
1 |
|a Cham, Switzerland :
|b Springer,
|c 2021.
|
300 |
|
|
|a 1 online resource (xxv, 695 pages) :
|b illustrations
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|
347 |
|
|
|b PDF
|
490 |
1 |
|
|a Lecture notes in computer science ;
|v 13108
|
490 |
1 |
|
|a LNCS sublibrary, SL 1, Theoretical computer science and general issues
|
505 |
0 |
|
|a Theory and Algorithms -- Metric Learning Based Vision Transformer for Product Matching -- Stochastic Recurrent Neural Network for Multistep Time Series Forecasting -- Speaker Verification with Disentangled Self-Attention -- Multi Modal Normalization -- A Focally Discriminative Loss for Unsupervised Domain Adaptation -- Automatic Drum Transcription with Label Augmentation using Convolutional Neural Networks -- Adaptive Curriculum Learning for Semi-Supervised Segmentation of 3D CT-Scans -- Genetic Algorithm and Distinctiveness Pruning in the Shallow Networks for VehicleX -- Stack Multiple Shallow Autoencoders into A Strong One: A New Reconstruction-based Method to Detect Anomaly -- Learning Discriminative Representation with Attention and Diversity for Large-scale Face Recognition -- Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network -- RAIDU-Net: Image Inpainting via Residual Attention Fusion and Gated Information Distillation -- Sentence Rewriting with Few-Shot Learning for Document-Level Event Coreference Resolution -- A Novel Metric Learning Framework for Semi-supervised Domain Adaptation -- Generating Adversarial Examples by Distributed Upsampling -- CPSAM: Channel and Position Squeeze Attention Module -- A Multi-Channel Graph Attention Network for Chinese NER -- GSNESR: A Global Social Network Embedding Approach for Social Recommendation -- Classification Models for Medical Data with Interpretative Rules -- Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning -- Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing -- MA-GAN: A Method Based on Generative Adversarial Network for Calligraphy Morphing -- One-Stage Open Set Object Detection with Prototype Learning -- Aesthetic-aware Recommender System for Online Fashion Products -- DAFD: Domain Adaptation Framework for Fake News Detection -- Document Image Classification Method based on Graph Convolutional Network -- Continual Learning of 3D Point Cloud Generators -- Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process -- Generation of a Large-Scale Line Image Dataset with Ground Truth Texts from Page-Level Autograph Documents -- DAP-BERT: Differentiable Architecture Pruning of BERT -- Trash Detection On Water Channels -- Tri-Transformer Hawkes Process: Three Heads are better than one -- PhenoDeep: A deep Learning-based approach for detecting reproductive organs from digitized herbarium specimen images -- Document-level Event Factuality Identification using Negation and Speculation Scope -- Dynamic Network Embedding by Time-Relaxed Temporal Random Walk -- Dual-band Maritime Ship Classification based on Multi-layer Convolutional Features and Bayesian Decision -- Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring -- Domain-Adaptation Person Re-Identification via Style Translation and Clustering -- Multimodal Named Entity Recognition Via Co-attention-based Method with Dynamic Visual Concept Expansion -- Ego Networks -- Cross-modal based Person Re-Identification via Channel Exchange and adversarial Learning -- SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs -- Deep Neuroevolution: Training Neural Networks using a Matrix-free Evolution Strategy -- Weighted P-Rank: A Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network -- Clustering Friendly Dictionary Learning -- Understanding Test-Time Augmentation -- SphereCF: Sphere Embedding for Collaborative Filtering -- Concordant Contrastive Learning for Semi-supervised Node Classification on Graph -- Improving Shallow Neural Networks via Local and Global Normalization -- Underwater Acoustic Target Recognition with Fusion Feature -- Evaluating Data Characterization Measures for Clustering Problems in Meta-learning -- ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-aware Supervision Information -- Image Periodization for Convolutional Neural Networks -- BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease -- Triplet Mapping for Continuously Knowledge Distillation -- A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection.
|
500 |
|
|
|a Includes author index.
|
520 |
|
|
|a The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.
|
588 |
0 |
|
|a Online resource; title from PDF title page (SpringerLink, viewed December 9, 2021).
|
650 |
|
0 |
|a Neural networks (Computer science)
|v Congresses.
|
650 |
|
7 |
|a Neural networks (Computer science)
|2 fast
|
655 |
|
7 |
|a proceedings (reports)
|2 aat
|
655 |
|
7 |
|a Conference papers and proceedings
|2 fast
|
655 |
|
7 |
|a Conference papers and proceedings.
|2 lcgft
|
655 |
|
7 |
|a Actes de congrès.
|2 rvmgf
|
700 |
1 |
|
|a Mantoro, Teddy,
|e editor
|1 https://orcid.org/0000-0003-2534-809X
|
700 |
1 |
|
|a Lee, Minho,
|e editor
|1 https://orcid.org/0000-0002-0441-7087
|
700 |
1 |
|
|a Ayu, Media,
|e editor
|1 https://orcid.org/0000-0002-6774-0850
|
700 |
1 |
|
|a Wong, Kok Wai,
|e editor
|1 https://orcid.org/0000-0001-8767-1031
|
700 |
1 |
|
|a Hidayanto, Achmad Nizar,
|e editor
|0 (orcid)0000-0002-5793-9460
|1 https://orcid.org/0000-0002-5793-9460
|
758 |
|
|
|i has work:
|a Neural information processing Part I (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGRwRb6vj73rThmQRPx6Bq
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a ICONIP (Conference) (28th : 2021 : Online).
|t Neural information processing.
|d Cham, Switzerland : Springer, 2021
|z 3030921840
|z 9783030921842
|w (OCoLC)1281588140
|
830 |
|
0 |
|a Lecture notes in computer science ;
|v 13108.
|
830 |
|
0 |
|a LNCS sublibrary.
|n SL 1,
|p Theoretical computer science and general issues.
|
856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-92185-9
|y Click for online access
|
903 |
|
|
|a SPRING-COMP2021
|
994 |
|
|
|a 92
|b HCD
|